Information Theoretical Analysis of Deep Learning Representations. - Yasutaka Furusho; Takatomi Kubo; Kazushi Ikeda (ICONIP (1), 2015)

Roles of pre-training in deep neural networks from information theoretical perspective. - Yasutaka Furusho; Takatomi Kubo; Kazushi Ikeda (Neurocomputing, 2017)

ResNet and Batch-normalization Improve Data Separability. - Yasutaka Furusho; Kazushi Ikeda (ACML, 2019)

Effects of Skip-Connection in ResNet and Batch-Normalization on Fisher Information Matrix. - Yasutaka Furusho; Kazushi Ikeda (INNSBDDL, 2019)

Skipping Two Layers in ResNet Makes the Generalization Gap Smaller than Skipping One or No Layer. - Yasutaka Furusho; Tongliang Liu; Kazushi Ikeda (INNSBDDL, 2019)

Kernel ridge reconstruction for anomaly detection: general and low computational reconstruction. - Yasutaka Furusho; Shuhei Nitta; Yukinobu Sakata (ICMLA, 2021)